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1 ses in viable myocardium in the risk region (morphometry).
2 ograft biopsies (manual counts and automated morphometry).
3 nd regional volumes), and (3) shape (surface morphometry).
4 ons) were quantified using computer-assisted morphometry.
5 were similar for FreeSurfer and tensor-based morphometry.
6 from in vivo MRI and voxel-wise tensor based morphometry.
7 utions were analyzed using computer-assisted morphometry.
8  light microscopy, immunohistochemistry, and morphometry.
9 scale and gray matter volumes by voxel-based morphometry.
10 ollagen extraction assay and fibrotic septae morphometry.
11  6 weeks apart using 3-T MRI and voxel-based morphometry.
12 analysis of dendritic arborization and spine morphometry.
13 ementia rating equal to 0) using voxel-based morphometry.
14 ons were analyzed by using computer-assisted morphometry.
15 tic approach to clinical phenotype and brain morphometry.
16 l processing were assessed using voxel-based morphometry.
17 sed by quantitative immunohistochemistry and morphometry.
18 ysis of T1-weighted images using voxel-based morphometry.
19 gy in healthy young adults using voxel-based morphometry.
20 imal ventilator and by postmortem histologic morphometry.
21 mmunofluorescence, immunohistochemistry, and morphometry.
22 rrelated with brain volume using voxel-based morphometry.
23 ter atrophy were assessed using tensor-based morphometry.
24 y 3D imaging and analysis of dendritic spine morphometry.
25 tric analyses were applied using voxel-based morphometry.
26 gional gray matter anatomy using voxel-based morphometry.
27      Liver fat was accurately quantitated by morphometry.
28 ing in cerebellar patients using voxel-based morphometry.
29 nd analysis of gray matter using voxel-based morphometry.
30 halamic nuclei and complementary voxel-based morphometry.
31 s a prodromal phase of AD, using voxel-based morphometry.
32 cross-sectional and longitudinal voxel-based morphometry.
33  with CDH, it only partially improves airway morphometry.
34 as used to perform whole-brain surface-based morphometry.
35 ifferences in myocardial fibrosis or cardiac morphometry.
36 ystem that provides novel measures of vessel morphometry.
37 ransdiagnostic alterations using Voxel-based morphometry.
38 s: (1) gray matter density using voxel-based morphometry, (2) volume (total brain and regional volume
39      In this work, we present Bacterial Cell Morphometry 3D (BCM3D), an image analysis workflow that
40 es were investigated by means of voxel-based morphometry across the entire brain.
41 enerative changes in cervical cord and brain morphometry across the sensory system.
42 al magnetic resonance imaging (surface-based morphometry): ADHD+ODD (n = 67), ADHD-only (n = 243), an
43 in postnatal growth trajectory or adult body morphometry after antenatal 101.10 treatment.
44                            Deformation-based morphometry analyses confirmed early pain-related volume
45               Confirmatory masked voxel base morphometry analyses demonstrated greater medial orbitof
46                             The tensor based morphometry analyses revealed that those with psychotic
47  the current study, we conducted voxel-based morphometry analyses to address this question.
48                                Central histo-morphometry analyses were performed on all other biopsie
49 rior cingulate cortex (PCC), and voxel-based morphometry analysis of gray matter.
50                           In the voxel-based morphometry analysis of the frontotemporal lobar degener
51                                  Voxel-based morphometry analysis of whole-brain 3-T high-resolution
52                                  Voxel-based morphometry analysis revealed a gray matter cluster in t
53 ional anisotropy (FA) data and computational morphometry analysis to compute the volumes of whole bra
54              We used whole-brain voxel-based morphometry analysis to determine where reduction of gra
55                Using whole-brain voxel-based morphometry analysis, we found that reduction of gray ma
56  comparative meta-analysis of 62 voxel-based morphometry and 26 functional magnetic resonance imaging
57 asia of the pigs on d60, placental and fetal morphometry and biochemistry were measured.
58 followed by histological measures of chamber morphometry and collagen density.
59 logical approach was used to quantify aortic morphometry and composition, and biomechanical testing w
60 nt study presents an in vivo analysis of the morphometry and deformation of lumbar (L2-S1) interverte
61      The model accurately predicts FN fibril morphometry and demonstrates a mechanism by which FN fib
62 cell-cell interactions in relation to lesion morphometry and demyelinating activity in MS patients.
63       Post hoc analyses included voxel-based morphometry and diffusion tensor imaging.
64                                  Voxel-based morphometry and Fazekas grade analyses did not differ si
65 -analysis compared groups across voxel-based morphometry and fMRI.
66                                  Ventricular morphometry and function were not significantly differen
67 maging [fMRI]) on the dot probe; voxel-based morphometry and global and local shape analyses were use
68                                  Voxel-based morphometry and gray matter masking also were employed t
69                            Deformation-based morphometry and independent component analysis identifie
70              This study applied tensor-based morphometry and intrinsic connectivity distribution to i
71 iety could be reliably predicted by amygdala morphometry and intrinsic functional connectivity, with
72            IMAs (n = 184) were digitized for morphometry and mapping.
73 pping provided data on spinal cord and brain morphometry and microstructure.
74                            Using grey matter morphometry and probabilistic tractography combined with
75 for immune biomarkers; immunohistochemistry, morphometry and qRT-PCR analysis were used on both kidne
76 ere collected and analyzed using voxel-based morphometry and region-of-interest-based approaches.
77 ural magnetic resonance imaging (voxel-based morphometry and relaxometry) in 18 male XDP patients car
78      To address these issues, we studied the morphometry and resilience of hrECMs' native vasculature
79 ume of the brain was measured by voxel-based morphometry and resting state functional connectivity wa
80 ications of eutrophication, diagenesis, lake morphometry and sediment focussing as controls of OC bur
81 mpared between the groups using tensor based morphometry and semiautomated region of interest analysi
82 t (Scx-mutant) mice were used to assess bone morphometry and the effects of fracture healing on Scx l
83 sed on meticulously acquired ultrastructural morphometry and the utility of measuring plasma creatini
84  digital reconstruction, we investigated the morphometry and topology of the dendritic trees of these
85                                  Voxel-based morphometry and tract-based spatial statistics were also
86 -remitting MS and analyzed using voxel-based morphometry and volumetry.
87  differences were compared using voxel-based morphometry and voxel-based quantification.
88  to compare white matter volume (voxel-based morphometry) and microstructural integrity (fractional a
89 r imaging); gray matter density (voxel-based morphometry); and hippocampal microstructural integrity
90 nges were calculated using deformation-based morphometry, and analyzed in relation to distance from t
91 and putamen using neonatal deformation-based morphometry, and brain microstructural organization usin
92  tracer, followed by ex vivo planar imaging, morphometry, and gene expression analysis.
93 mistry, Computer Assisted Stereology Toolbox morphometry, and immunofluorescence staining were perfor
94 se homeostasis, insulin secretion, beta cell morphometry, and islet gene expression in C57BL/6NTac mi
95 abundance to modeled water temperature, lake morphometry, and lake productivity, and projected lake-s
96 t U.S. reservoirs of varying trophic status, morphometry, and management regimes.
97 diffusivity, axial diffusivity), voxel-based morphometry, and Mann-Whitney U comparisons of Fazekas g
98 interactions between patient metadata, brain morphometry, and neurological disease.
99 bone shape and impaired enthesis morphology, morphometry, and organization.
100 s preserves the microvascular morphology and morphometry, and physiological function.
101 using voxel-based morphometry, surface-based morphometry, and shape analysis in structures suggested
102 abolic rates, solute diffusivities, and disc morphometry, and through subject-specific FE modeling, r
103  For the analysis, a whole-brain voxel-based morphometry approach was combined with mediation analysi
104                         A matched-pair brain morphometry approach was used to control for confounding
105          Corresponding gyral definitions and morphometry approaches were not identical across the pac
106 nd white matter volume maps with voxel-based morphometry, as well as whole-brain functional connectom
107                            By implementing a morphometry assay with luminal A breast cancer, we demon
108 ons marked on the DIR scans and voxel- based morphometry (assessing GM atrophy) were carried out.
109 Advanced OCT image analysis included luminal morphometry, assessment of the adluminal signal-rich lay
110 equence and quantitative estimates of vessel morphometry based on immunohistochemistry from image-gui
111                                  Voxel-based morphometry, based on ante-mortem T1-weighted MRI, was u
112 ange in hepatic collagen content assessed by morphometry between baseline and week 96.
113 ntification of staining by computer assisted morphometry (CAM) can be used to assess severity of ball
114  22 predictor variables, which included lake morphometry characteristics, watershed land use, and dis
115                                  Voxel-based morphometry confirmed grey matter loss across the motor
116                                  Voxel-based morphometry confirmed significant atrophy of inferior fr
117 rative fluid balance, accounting for patient morphometry, crystalloid, colloid, blood products, urine
118 network (DBN) to extract features from brain morphometry data and investigated its performance in dis
119                                  Voxel-based morphometry delineated atrophy patterns, and seed-based
120                                  Voxel-based morphometry demonstrated gray matter (GM) atrophy in the
121 ey matter concentration by using voxel-based morphometry-Diffeomorphic Anatomical Registration Throug
122 e meta-analysis if they reported voxel-based morphometry differences between patients with an Axis I
123 ied three neuroimaging methods-surface-based morphometry, diffusion tensor imaging and network-based
124 ongside neuroimaging measures of voxel-based morphometry, diffusion tensor imaging, and resting-state
125 d a multimodal imaging approach (voxel-based morphometry, diffusion-tensor imaging, electroencephalog
126              We used DTI-driven tensor based morphometry (DTBM), a novel technique that extracts morp
127 mal in Twist2-IKKbetaca embryos, with airway morphometry, elastin staining, and saccular branching si
128 event collapse during necropsy were used for morphometry evaluations of mucus production, airway epit
129  high-throughput application of conventional morphometry for estimating podocyte density.
130 ethods (Jacobian maps from deformation-based morphometry; fractional anisotropy maps from diffusion t
131 gh no association was found with voxel-based morphometry, FreeSurfer revealed increased gray matter w
132 t neuroimaging studies focusing on the brain morphometry have dealt with the targeted brain structure
133                                     Enthesis morphometry, histology, and collagen alignment were inve
134 ice (P < 0.01) and were confirmed by hepatic morphometry, hydroxyproline assay, and IFM.
135               Despite loss of visible hairs, morphometry identified elongated follicles in PP versus
136 s, and on GM and WM images using voxel-based morphometry in 30 SBP adolescents and 106 controls.
137 ocols for gross volume and subcortical shape morphometry in 533 individuals with 22q11DS and 330 matc
138 red recognition of disgust using voxel-based morphometry in a sample of 305 patients with heterogeneo
139 formed a large-scale examination of cortical morphometry in ASD, with a specific focus on the impact
140 antifying complex nanoscale organization and morphometry in collagen gels.
141 uggest a possible signature of altered brain morphometry in OCD, while the hub findings point to OCD-
142 antipsychotic medication with abnormal brain morphometry in schizophrenia remains uncertain.
143 esting, and analysis of nerve morphology and morphometry in skin biopsies from the third digit finger
144                                  Voxel-based morphometry in the patient cohort revealed grey matter c
145 t less is known about cannabis use and brain morphometry in these regions in humans.
146  and conducted three independent analyses of morphometry in these structures: (1) gray matter density
147 y for the use of combined brain quantitative morphometry in this setting.
148 differences were determined with voxel-based morphometry, in SPM8.
149 ion between long-term AAS exposure and brain morphometry, including subcortical neuroanatomical volum
150 es in these 11 patients, we evaluated tissue morphometry, including vessel density and average radius
151 hips between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a
152     First, hippocampal subfield quantitative morphometry indicated significant volume loss confined t
153  associations between prefrontal measures of morphometry, intracortical myelination, and functional c
154 etween measures of brain organization (brain morphometry, intracortical myelination, white matter int
155        The study emphasizes that voxel-based morphometry is an exploratory measure, demonstrating the
156  reduced appetite- and taste-processing area morphometry is associated with decreased brain energy le
157 ing of lymphocytes per high-power field, and morphometry is important for diagnosis as well as for di
158 is, metabolic inflammation, pancreatic islet morphometry, islet cellular composition, and inflammatio
159 onal magnetic resonance imaging, voxel-based morphometry, Levels of Emotional Awareness Scale, and dr
160 progression was calculated using voxel-based morphometry longitudinal analysis on 34 non-fluent/agram
161 compare corneal endothelial cell density and morphometry measurements from two widely used non-contac
162 , quantitative confocal microscopy, and lung morphometry.Measurements and Main Results: Examination o
163                    A multicenter voxel-based morphometry mega-analysis was performed on 1.5-T structu
164                     Based on the voxel-based morphometry meta-analysis of 193 studies comprising 15 8
165              Here we conducted a voxel-based morphometry meta-analysis of published MRI data in stimu
166 ed on brain MRI, we apply a 3D surface-based morphometry method on 3 bilateral basal ganglia structur
167                       We used an established morphometry method to quantify total and regional insula
168 Freesurfer and analysed using a tensor-based morphometry method.
169 urement of beta-cell content via traditional morphometry methodologies that superficially sample the
170                       We applied voxel-based morphometry methods to test gray matter (GM) and white m
171 AGE T1 sequences processed using voxel-based morphometry methods.
172 ucose PET (n = 20 per group) and voxel-based morphometry (n = 17 per group).
173 en content and alpha-smooth muscle actin (by morphometry), NAFLD Activity Score (NAS), and serum mark
174 myocardial ischemia reperfusion injury using morphometry, neutrophil accumulation, blood cardiac trop
175 uely different (p < 0.05) characteristics in morphometry, normal and shear strain patterns of the L5S
176 re imaged using confocal microscopy, and the morphometries of colony organizations and heterogeneity
177 n chronic pain, as detected with voxel-based morphometry of anatomical magnetic resonance images, are
178 n chronic pain, as detected with voxel-based morphometry of anatomical magnetic resonance images, are
179                           We tested THGM for morphometry of compact myelin.
180  in epithelial gene expression, quantitative morphometry of endobronchial biopsies, and levels of sec
181                         Here, we analyse the morphometry of longitudinal ridges of a martian landslid
182                                  Voxel-based morphometry of patients with behavioural variant frontot
183  using blinded visual rating and voxel-based morphometry of patients' brain magnetic resonance images
184                                  Voxel-based morphometry of structural magnetic resonance images dete
185 pathy and 44 pain-free controls, voxel-based morphometry of T1-weighted anatomical images and diffusi
186                           Using quantitative morphometry of the airway wall, we identified a shift in
187 k fibrosis score and quantitatively by using morphometry of the fibrosis area.
188          We tested for changes in structural morphometry of the sensorimotor cortex and found that in
189                                          The morphometry of these structures, forming key components
190              Using multivariate source-based morphometry on a subset of patients (n = 133), we identi
191                                   We perform morphometry on GC layer somas, including projection of G
192             Application of SPM's voxel-based morphometry on the modulated images of thin-section imag
193 sease have been shown to have abnormal brain morphometry or function, which are associated with psych
194 red within-subject changes in regional brain morphometry over longer intervals and in larger samples
195 rmalities were assessed by using voxel-based morphometry (P < .001, uncorrected) and tract-based spat
196  circumstances were collected from vertebral morphometry, patients' records, and questionnaires.
197                                  Voxel-based morphometry performed in 91 patients with available imag
198           Mindboggle is an open source brain morphometry platform that takes in preprocessed T1-weigh
199 to cluster patients according to their brain morphometry profiles.
200 ypomorphic (FSTL-1 Hypo) mice underwent lung morphometry, pulmonary function testing, and micro-compu
201  metabolic rates, solute diffusion, and disc morphometry, remains unknown.
202 actures in term not in labor membranes, with morphometry resembling that seen in term labor membranes
203  diffusion-tensor MR imaging and voxel-based morphometry, respectively, in 28 patients with EOAD, 12
204                  Voxel-based relaxometry and morphometry revealed (1) a cluster in the anteromedial p
205                                Surface-based morphometry revealed a significant cortical volume reduc
206            Third, whole-brain voxel-by-voxel morphometry revealed no significant grey matter loss.
207 alysis consisting of group level voxel-based morphometry revealed only focal areas of atrophy in all
208                                  Voxel-based morphometry revealed that gray matter volume was increas
209                                  Voxel-based morphometry revealed that nearly all pathological subgro
210                              Ultrastructural morphometry revealed that Syt1-RQ fully restored the doc
211 e determined using volumetry and voxel-based morphometry; rs-fMRI data were analysed to investigate h
212               Next, we utilized source-based morphometry (SBM) to examine gray matter covariation in
213                                    Molecular morphometry seems to be a promising new tool that can be
214 munohistochemistry, design-based stereology, morphometry, Sholl analysis, and biochemical analyses.
215                                  Voxel-based morphometry showed higher anterior hippocampal grey matt
216                                  Voxel-based morphometry showed left-lateralized occipito-temporal at
217                                  Voxel-based morphometry showed significant gray matter reductions in
218 ontrast, atrophy, measured using voxel-based morphometry, showed no differences between groups, or in
219                                  Brain image morphometry shows great potential for providing much-nee
220 ively and objectively evaluated using Cell^F morphometry software.
221 hree automated techniques (deformation-based morphometry, striatum shape analysis, and cortical thick
222 nalysis of published whole-brain voxel-based morphometry studies in childhood maltreatment to elucida
223                       Search for voxel-based morphometry studies in relatives of patients with SCZ, B
224 brain seed-based iFC studies and voxel-based morphometry studies in schizophrenia, major depressive d
225 ive meta-analysis of whole-brain voxel-based morphometry studies is lacking.
226  PubMed was searched to identify voxel-based morphometry studies through July 2012 comparing psychiat
227                             This voxel-based morphometry study investigated volumetric differences in
228 se findings, we conducted a volumetric brain morphometry study involving an independent, gender-mixed
229                This within-group voxel-based morphometry study probes volumetric associations with se
230 differences in gray matter using voxel-based morphometry, surface-based morphometry, and shape analys
231 etic resonance imaging with the tensor-based morphometry-symmetric normalization technique.
232 pared to healthy controls using tensor-based morphometry (TBM).
233                     We applied surface-based morphometry techniques in 2 large, independent cross-sec
234 fic animal model, state-of-the-art histology/morphometry techniques, and functional nuclear magnetic
235 scans analysed using whole-brain voxel-based morphometry techniques.
236 maging at a university hospital; voxel-based morphometry; test-retest reliability analysis of striata
237 s of live cells and employed transport-based morphometry to better understand their differential morp
238    In the current study, we used voxel-based morphometry to compare gray matter volume (GMV) in forty
239 ic analyses were conducted using voxel-based morphometry to detect regional differences between group
240 tient cohort were analysed using voxel-based morphometry to identify regional grey matter association
241 of interest analysis was done in voxel-based morphometry to identify structural-functional correspond
242  longitudinal MRI study, we used voxel-based morphometry to investigate gray matter changes related t
243 , foveal avascular zone size, and foveal pit morphometry to investigate potential structural differen
244                          We used voxel-based morphometry to investigate this hypothesis in a large sa
245 ted with a Golgi stain and computer-assisted morphometry to provide somatodendritic measures of 652 n
246 e 3D imaging and analysis of dendritic spine morphometry to show that chronic cocaine self-administra
247 eloped algorithm that uses point cloud-based morphometry to unpack the rich information encoded in 3D
248 ere assessed between groups with voxel-based morphometry, using ANCOVA (covariates, age and gender; f
249                                    Molecular morphometry, using the mRNA expression ratio of villous
250                                  Voxel-based morphometry (VBM) analysis was conducted to investigate
251                          We used voxel-based morphometry (VBM) and diffusion tensor imaging to identi
252 and neuropsychological data, MRI voxel-based morphometry (VBM) and neuropathological assessment from
253                            Using voxel-based morphometry (VBM) and structural equation modeling (SEM)
254 wise meta-analysis of studies of voxel-based morphometry (VBM) and the amplitude of low-frequency flu
255 nd healthy controls (n=54) using voxel-based morphometry (VBM) and tract-based spatial statistics (TB
256 y volunteers were compared using voxel-based morphometry (VBM) and voxel-based cortical thickness (VB
257                            Using voxel based morphometry (VBM) applied to structural Magnetic Resonan
258                                  Voxel-based morphometry (VBM) has been proven capable of capturing c
259 tic resonance imaging (fMRI) and voxel brain morphometry (VBM) protocol.
260 ate-based meta-analysis included voxel-based morphometry (VBM) studies and resting-state voxel-based
261     We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD.
262                     Our previous voxel based morphometry (VBM) studies in patients with amyotrophic l
263  We conducted a meta-analysis of voxel-based morphometry (VBM) studies of patients with OSA to identi
264                 Here we report a voxel-based morphometry (VBM) study of Thy1-YFP mice following audit
265 oxel-based lesion-symptom mapping (VLSM) and morphometry (VBM) study with 77 human stroke subjects.
266           The current study used voxel-based morphometry (VBM) to assess whether the cerebral cortex
267 l neuroimaging studies have used voxel-based morphometry (VBM) to identify gray matter abnormalities
268  and posterior visual pathway by voxel-based morphometry (VBM), multiple linear regressions, and gene
269 sis and by means of white matter voxel-based morphometry (VBM).
270        The established method of voxel-based morphometry (VBM8 segmentation and diffeomorphic anatomi
271     Cortical thickness analysis, voxel-based morphometry, volumetric and shape analyses of subcortica
272                                  Voxel-based morphometry was applied to study whole brain gray matter
273                                     Vascular morphometry was assessed by immunohistochemistry.
274 omputational model based on published airway morphometry was developed and Zrs was simulated between
275 e classification of cases as AMR or non-AMR, morphometry was performed on biopsies from 48 recipients
276                                  Voxel-based morphometry was performed to identify neuroanatomical co
277 d Eriksen flanker/NoGo task, and voxel-based morphometry was performed to study brain volume differen
278 fects of the stroke on language, voxel-based morphometry was then used to determine whether local gre
279                                Surface-based morphometry was used to assess cortical thickness.
280                                  Voxel-based morphometry was used to characterize patterns of grey ma
281                                  Voxel-based morphometry was used to compare GMV in a priori regions
282                                  Voxel-based morphometry was used to compare local gray and white mat
283                                  Voxel-based morphometry was used to determine the brain structural c
284                            Deformation-based morphometry was used to estimate cortical and subcortica
285 y they underwent structural MRI; voxel-based morphometry was used to explore the relation between soc
286                                  Voxel-based morphometry was used to explore the relationship between
287 ts underwent structural MRI, and voxel-based morphometry was used to relate whole-brain maps to emoti
288 based lesion-symptom mapping and voxel-based morphometry, we aimed to determine whether local grey ma
289 esonance imaging and whole-brain voxel-based morphometry, we assessed gray matter volume (GMV) differ
290             In this study, using voxel-based morphometry, we evaluated gray matter (GM) volume change
291 anatomical features derived from voxel-based morphometry were compared in a sample of equal-sized hig
292  mass alterations, and alveolar and vascular morphometry were performed, as well as inflammatory cell
293 act-based spatial statistics and voxel-based morphometry were used for the white and gray matter anal
294  analysis, quantitative electron microscopic morphometry, Western blotting, and functional tests.
295 atosensory thalamus volume loss (voxel-based morphometry) which was associated with decreased thalami
296    Two techniques were used: (1) voxel-based morphometry, which measures gray matter volume and conce
297                                  Voxel-based morphometry with DARTEL was performed to obtain regional
298 IV-TR diagnosis (n = 1409) using voxel-based morphometry with subsequent subject-level regional chara
299 tudinal FreeSurfer software and tensor-based morphometry with symmetric normalisation to calculate hi
300 ance and brain atrophy (applying voxel-based morphometry) with matched autopsy/biomarker-defined typi

 
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